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Auswahl der wissenschaftlichen Literatur zum Thema „Raspberry Pie“
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Zeitschriftenartikel zum Thema "Raspberry Pie"
Zhou, Kai, und Youhong Yuan. „A Smart Ammunition Library Management System Based on Raspberry Pie“. Procedia Computer Science 166 (2020): 165–69. http://dx.doi.org/10.1016/j.procs.2020.02.041.
Der volle Inhalt der QuelleSohn, Kyung-rak. „Smart Safety Monitoring System Using Inductive Power Line Communication Based Raspberry-Pie“. Journal of Korean Institute of Communications and Information Sciences 42, Nr. 9 (30.09.2017): 1850–56. http://dx.doi.org/10.7840/kics.2017.42.9.1850.
Der volle Inhalt der QuelleBae, Jae-Hwan. „Design and development of automatic navigation system using open source Arduino and Raspberry pie“. Journal of Next-generation Convergence Information Services Technology 10, Nr. 3 (30.06.2021): 327–34. http://dx.doi.org/10.29056/jncist.2021.06.09.
Der volle Inhalt der QuelleLee, NamGu, und HwangRae Kim. „A Study on the Secure One way Local Car Number Recognition System Using Raspberry Pie under Network Separation Environment“. Journal of Digital Contents Society 19, Nr. 10 (31.10.2018): 1909–17. http://dx.doi.org/10.9728/dcs.2018.19.10.1909.
Der volle Inhalt der QuelleIrawan, Yuda, Refni Wahyuni, Muhardi -, Hendry Fonda, Muhammad Luthfi Hamzah und Rometdo Muzawi. „Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality“. International Journal of Interactive Mobile Technologies (iJIM) 15, Nr. 10 (25.05.2021): 224. http://dx.doi.org/10.3991/ijim.v15i10.20707.
Der volle Inhalt der QuelleGladence, L. Mary, M. D. Gunasekhar, M. Sai Shankar, V. Maria Anu und Jany Shabu. „Wireless Net-Work Based Gesture-Controlled Robot“. Journal of Computational and Theoretical Nanoscience 17, Nr. 8 (01.08.2020): 3534–38. http://dx.doi.org/10.1166/jctn.2020.9226.
Der volle Inhalt der QuelleM, Karthikeyan, Gowrishankar KA, Rajith Sekar. G, E. Elamaran und B. Sudhakar. „Multilevel Security System Using Raspberry Pi3“. International Journal of Engineering & Technology 7, Nr. 2.24 (25.04.2018): 259. http://dx.doi.org/10.14419/ijet.v7i2.24.12060.
Der volle Inhalt der QuelleAlhasnawi, Bilal Naji, und Basil H. Jasim. „SCADA Controlled Smart Home Using Raspberry Pi3“. International Journal of Control and Automation 11, Nr. 8 (31.08.2018): 71–84. http://dx.doi.org/10.14257/ijca.2018.11.8.07.
Der volle Inhalt der QuelleSaip, Mohamed Ali, und Ahmad SufrilAzlan Mohamed. „Smart Health Monitoring and Controlling using Raspberry Pi3“. International Innovative Research Journal of Engineering and Technology 4, Nr. 1 (30.09.2018): 24–28. http://dx.doi.org/10.32595/iirjet.org/v4i1.2018.70.
Der volle Inhalt der QuelleHerrera Aristizábal, Sebastián, Julio Alejandro Hincapié Correa, Luis Hernando Ríos González und Sebastián López Flórez. „PID-fuzzy of DC motors using Raspberry PI“. Visión electrónica 14, Nr. 1 (31.01.2020): 86–101. http://dx.doi.org/10.14483/22484728.16361.
Der volle Inhalt der QuelleDissertationen zum Thema "Raspberry Pie"
Kadaňka, Jan. „Vizuální kontrola rozměrů součástí“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442860.
Der volle Inhalt der QuelleHamberg, Dennis. „Design av PID-regulator baserad på kommersiell processormodul“. Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-15491.
Der volle Inhalt der QuelleIdén till att utveckla en plattform för PID-reglering föddes ur tanken att kunna styra temperaturen i en espressomaskin på ett mer exakt sätt än vad en termostat förmår. Vid samtal med Syntronic AB utarbetades iden till att handla om PID-reglering för generella applikationer för industriellt bruk. Syntronic AB gav förslag om att basera reglersystemet på en kommersiellt tillgänglig processormodul för att minska utvecklingstiden. Förslaget innefattade mikrodatorn Raspberry Pi, som har stöd för USB, HDMI, minneskort och Ethernet. Arbetet började med att upprätta en tidsplan för de tio veckor projektet pågick, sedan påbörjades en kravspecifikation som specificerar systemets alla funktioner, utförande och begränsningar. När grunderna i kravspecifikationen var klara togs en preliminär systemdesign fram. Eftersom nämnd mikrodator saknar en analog/digital-omvandlare konstruerades ett kretskort där kretsar för Wheatstone-bryggor, ADC, differentialförstärkare, ingångar och utgångar placerades. Val av operativsystem föll på Linux Raspbian Wheezy, då denna distribution var populär och hade en god dokumentation. All hårdvarunära programmering gjordes uteslutande i C-språk. Webbserver-applikationen Nginx installerades på mikrodatorn för att kunna visa grafer och kunna mata in parametrar via en hemsida över internet. Hemsidan skrevs i språken PHP och JavaScript för server- respektive klientsida. För att utvärdera PID-regulatorn, monterades den i en espressomaskin där den fick styra kokarens värmeelement. Parametrarna för PID-regulatorn testades fram för att om möjligt korta ner tiden tills dess att temperaturen blev stabil.
Zgrebňák, Michal. „Využití systému Raspberry PI pro řízení“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377000.
Der volle Inhalt der QuelleGonçalves, Pedro Miguel Jesus. „Real-time controller based on MATLAB and raspberry Pi“. Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21134.
Der volle Inhalt der QuellePara esta dissertação é proposto o desenvolvimento de um controlador de tempo-real baseado na plataforma computacional Raspberry Pi, munidos de ADCs e DACs para interagir com sistemas físicos. Os algoritmos de controlo deverão poder ser desenvolvidos e testados em MATLAB, sendo “traduzidos”, de forma automática, para linguagem C capaz de ser compilada e executada na plataforma Raspberry Pi.
For this dissertation is proposed the development of a real-time controller based on the computer platform Raspberry Pi, fitted with ADCs and DACs to interact with physical systems. The control algorithms must be able to be developed and tested in MATLAB, then "translated" automatically to C programming language to be compiled and run on the Raspberry Pi platform.
Banks, Gatenby Amanda. „Developing perspectives of knowledgeability through a pedagogy of expressibility with the Raspberry Pi“. Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/developing-perspectives-of-knowledgeability-through-a-pedagogy-of-expressibility-with-the-raspberry-pi(246a7889-d2a5-41ad-bd15-e04c0f36b529).html.
Der volle Inhalt der QuelleJiruška, Jiří. „Návrh a řízení samobalancujícího robotu“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240791.
Der volle Inhalt der QuelleXU, BO-EN, und 徐柏恩. „Automatic Broadcast News System by Web Crawler Based on Raspberry Pi3“. Thesis, 2018. http://ndltd.ncl.edu.tw/handle/867n46.
Der volle Inhalt der Quelle明志科技大學
電子工程系碩士班
106
Reading news is a daily habit for many people. With the arrival of the Internet, online news platforms have gradually replaced newspapers to become the media for people to read news. Most jobs today rely on computers. The eye pressure increases as people are getting busier and busier at work. In order not to cause more eye pressure because of reading a lot of words on the news, an automated news reader system was developed with this study. This system can retrieve news from online news platforms, read the news in speech, and furthermore help a user select the news with the content that interests him or her so that the user does not need to spend efforts on selecting news. The development platform used in this study is Raspberry Pi3. The web crawler automated news reader system was developed with the python programming language, which can retrieve news provided by online news platforms and categorize the news based on the SQLite database. The system records the usage and analyzes the results every time so that the news content provided next time can better meet the needs of the users. The system also designed a GUI (Graphical User Interface) for users to use the system. A user can mount the host in a wall, refrigerator, headboard, or so on to match his or her daily habits. This study is aimed at helping people gain access to the news and information that people are interested in, reduce eye strain, and improve the quality of daily life.
ZIDA, SERGE ISMAEL, und 伊思樂. „Digital Clinical Health Parameters Monitoring Platform by Raspberry Pi3 for the Hospitals in Developing Countries“. Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sm8fru.
Der volle Inhalt der Quelle逢甲大學
生醫資訊暨生醫工程碩士學位學程
106
The development of medical technologies is improving medicine practice and healthcare approach. Nevertheless, in developing countries, healthcare is a major issue mainly because of economic difficulties. This research proposes a real time monitoring platform to solve patient data digitalization and integration in health systems in order to improve vital signs data management. This platform is a support for health professionals to follow up and visualize differently patient’s vital signs. The web page of the platform allows staff to connect and control the vital signs wherever they are. The platform is designed as a set of three layers that connect and inter communicate: the medical equipment, the Raspberry Pi based medical gateway and the medical cloud server. By using cheap and reliable materials, open source software and resources, this low cost and low energy consumption system match to developing countries needs and realities.
HUNG, HUNG-JEN, und 洪宏仁. „The Research of the Implementation Technology for the Smart Internet of Things with Raspberry Pi3“. Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4sc8rv.
Der volle Inhalt der Quelle正修科技大學
資訊工程研究所
106
Because gas water heaters are easy to use and their costs are often lower than that of other types of heaters, therefore, they dominate the installation of water heaters at homes. However, frequent poisoning accidents are often caused by the ignorance of ventilation. The correct statement for gas poisoning should be: “Carbon monoxide poisoning”. Carbon monoxide (CO) is a colorless and odorless gas, and the symptoms after poisoning are not easy to be noticed, thus becoming an invisible killer hidden in the home environment. After inhaling too much carbon monoxide, people have symptoms of fatigue, dizziness, etc. They perhaps die in lethargy under the conditions of continuously poisoning and unconsciousness. It is the goal of this study to design a security device with the Raspberry Pi that can be combined with the Internet of Things and the sensors of carbon monoxide, temperature and humidity. When the device detects high temperature or high CO concentration. It enables ventilation fans to reduce the CO concentration and the high temperature. In addition, it triggers the voice module to notify the on-site personnel, and would send a help message to Twitter for rescuing the casualties of the family and to reduce the loss of life and property.
Bücher zum Thema "Raspberry Pie"
Brown, Cris. National Raspberry Cream Pie Day : Note-Book and Sketchbook Glossy Cover Finish , a Unique GIFT - 6 X 9 Note-book: Happy 1st of August Gift for Kids and ... Choice for the National Raspberry Cream Pie Day. Independently Published, 2020.
Den vollen Inhalt der Quelle findenartist, journals. National Raspberry Cream Pie Day: Lined Notebook/Journal/120 Lined Pages/9-X-6-inch/ Soft Cover/ Matte Finish. Independently Published, 2020.
Den vollen Inhalt der Quelle findenBrakmić, Harris. Bitcoin and Lightning Network on Raspberry Pi: Running Nodes on Pi3, Pi4 and Pi Zero. Apress, 2019.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Raspberry Pie"
Gay, Warren. „The Raspberry Pi“. In Advanced Raspberry Pi, 1–13. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3948-3_1.
Der volle Inhalt der QuelleGoodwin, Steven. „Raspberry Pi“. In Smart Home Automation with Linux and Raspberry Pi, 275–96. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5888-9_8.
Der volle Inhalt der QuelleFollmann, Rüdiger. „Der Raspberry Pi“. In Das Raspberry Pi Kompendium, 1–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58144-5_1.
Der volle Inhalt der QuelleGay, Warren W. „The Raspberry Pi“. In Mastering the Raspberry Pi, 5–8. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0181-7_2.
Der volle Inhalt der QuelleGay, Warren W. „The Raspberry Pi“. In Raspberry Pi Hardware Reference, 1–4. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0799-4_1.
Der volle Inhalt der QuelleMembrey, Peter, und David Hows. „The Raspberry sPi“. In Learn Raspberry Pi with Linux, 199–221. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4822-4_10.
Der volle Inhalt der QuellePajankar, Ashwin. „Overclocking Raspberry Pi“. In Raspberry Pi Supercomputing and Scientific Programming, 81–86. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2878-4_7.
Der volle Inhalt der QuelleCicolani, Jeff. „Raspberry Pi GPIO“. In Beginning Robotics with Raspberry Pi and Arduino, 103–28. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3462-4_4.
Der volle Inhalt der QuelleCicolani, Jeff. „Raspberry Pi GPIO“. In Beginning Robotics with Raspberry Pi and Arduino, 95–118. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6891-9_4.
Der volle Inhalt der QuelleHoran, Brendan. „Hardware Overview“. In Practical Raspberry Pi, 1–16. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4972-6_1.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Raspberry Pie"
Xie, Yongsheng, Hong Ding und Fendong Huang. „Design of Temperature and Humidity Measuring System Based on Raspberry Pie“. In AICS 2019: 2019 International Conference on Artificial Intelligence and Computer Science. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349341.3349477.
Der volle Inhalt der QuelleMao, Jiandong, Zhen Guo, Hongliang Geng, Bai Zhang, Zhen Cao und Wenqi Niu. „Design of Visual Navigation System of Farmland Tracked Robot Based on Raspberry Pie“. In 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2019. http://dx.doi.org/10.1109/iciea.2019.8834077.
Der volle Inhalt der QuelleIbrahim, Saeed, Nawwaf Al Harmi, Ebrahim Al Naqbi, Farkhund Iqbal, Djedjiga Mouheb und Omar Alfandi. „Remote Data Acquisition Using Raspberry Pi3“. In 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). IEEE, 2018. http://dx.doi.org/10.1109/ntms.2018.8328750.
Der volle Inhalt der QuelleAlhasnawi, Bilal Naji, und Basil H. Jasim. „SCADA controlled smart home using Raspberry Pi3“. In 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA). IEEE, 2018. http://dx.doi.org/10.1109/icasea.2018.8370946.
Der volle Inhalt der QuelleAlabdulsalam, Batool A., Fatima A. Alsalman, Zahra H. Alshakhs, Hafiz F. Ahmad und Azher Mughal. „Dynamic Video Wall Tile Creation Using Raspberry Pi3“. In 2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS). IEEE, 2017. http://dx.doi.org/10.1109/isads.2017.45.
Der volle Inhalt der QuelleSathiyan, S. Paul, K. S. Glady Jennifer, S. Swathi und G. Mariya Sharmini. „Blood group determination and classification using Raspberry Pi3“. In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MICROELECTRONICS, SIGNALS AND SYSTEMS 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0003932.
Der volle Inhalt der QuelleHussein, Naser Abbas, und Inas Al Mansoori. „Smart Door System for Home Security Using Raspberry pi3“. In 2017 International Conference on Computer and Applications (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/comapp.2017.8079785.
Der volle Inhalt der QuelleFaiazuddin, Syed, M. V. Lakshmaiah, K. Tanveer Alam und M. Ravikiran. „IoT based Indoor Air Quality Monitoring system using Raspberry Pi4“. In 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2020. http://dx.doi.org/10.1109/iceca49313.2020.9297442.
Der volle Inhalt der QuellePester, Andreas, und Michael Schrittesser. „Object detection with Raspberry Pi3 and Movidius Neural Network Stick“. In 2019 5th Experiment Conference (exp.at'19). IEEE, 2019. http://dx.doi.org/10.1109/expat.2019.8876583.
Der volle Inhalt der QuelleAlbert, Stefan, und Vasile Surducan. „Raspberry Pi camera with intervalometer used as crescograph“. In 11TH INTERNATIONAL CONFERENCE OF PROCESSES IN ISOTOPES AND MOLECULES (PIM 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5018282.
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